Data Science | LearnIt

Data Wrangling with JavaScript

Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.

Beginner

Paid

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Data Science with Python and Dask

Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your guide to using Dask for your data projects without changing the way you work!

Beginner

Paid

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Data Science Bookcamp

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you'll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily.

Beginner

Paid

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Build Your Career in Data Science

You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager.

Beginner

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Become a Leader in Data Science

In How to Lead in Data Science you'll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole company's data strategy. You'll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away.

Beginner

Paid

book

Algorithms of the Intelligent Web, Second Edition

Algorithms of the Intelligent Web, Second Edition teaches the most important approaches to algorithmic web data analysis, enabling you to create your own machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors and website logs.

Beginner

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Full Stack Data Science Program

This is the most comprehensive Full Stack Data Science program available that covers all steps of the Data Science process, from Data Integration, Data Manipulation, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analytics, and Machine Learning models using R, Python, Tableau, Tensor Flow, and Keras.

Beginner

Paid

course

PG Program in Data Science & Business Analytics by UT Austin

Learn from a top-ranking global school to build job-ready Data Science skills

Beginner

Paid

course

Foundations of Data Science by University of California, Berkeley (edX)

A data science program for everyone. You will learn How to interpret and communicate data and results using a vast array of real-world examples from different domains, make predictions using machine learning and more!

Beginner

Paid

course

Introduction to Statistics: Descriptive Statistics (edX)

An introduction to descriptive statistics, emphasizing critical thinking and clear communication.

Beginner

Paid

course

Data Science Certification Training

An industry-oriented course designed by experts. Become a Data Scientist by mastering concepts like data collection, manipulation, analysis, statistical methods, machine learning, and more.

Beginner

Paid

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Data Science Foundations Using R (Coursera)

Master Statistics with R. Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.

Beginner

Paid

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Data Science Specialization (Coursera)

Launch Your Career in Data Science. A ten-course introduction to data science, developed and taught by leading professors.

Beginner

Paid

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Introduction to Data Science in Python (Coursera)

Gain new insights into your data . Learn to apply data science methods and techniques, and acquire analysis skills.

Beginner

Paid

course

Advanced Data Science with IBM Specialization (Coursera)

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning.

Advanced

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course

IBM Data Science Professional Certificate (Coursera)

Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required.

Beginner

Paid

course

Neural Networks and Deep Learning (Coursera)

Neural Networks and Deep Learning - In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.

Beginner

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Introduction to Mathematical Thinking (Coursera)

Introduction to Mathematical Thinking. The key to success in school math is to learn to think inside-the-box. In contrast, a key feature of mathematical thinking is thinking outside-the-box _ a valuable ability in today's world. This course helps to develop that crucial way of thinking.

Learn how to think the way mathematicians do – a powerful cognitive process developed over thousands of years. Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly stereotyped problems. Professional mathematicians think a certain way to solve real problems, problems that can arise from the everyday world, or from science, or from within mathematics itself. The key to success in school math is to learn to think inside-the-box. In contrast, a key feature of mathematical thinking is thinking outside-the-box – a valuable ability in today’s world. This course helps to develop that crucial way of thinking.

Beginner

Paid

course

Structuring Machine Learning Projects (Coursera)

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.

Beginner

Paid

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Machine Learning for Investment Professionals (Coursera)

This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process. This course is part of the Data Science for Investment Professionals Specialization offered by CFA Institute.

Beginner

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